AI Point vs Department vs Org-Wide Solutions
AI is no longer a future promise. It’s a present-day reality that is already improving costs and revenue. In a recent McKinsey global survey,ย 64% of respondentsย reported that their organizations are already realizing cost and revenue benefits from AI adoption....
Model Agnostic vs. Custom LLM: How to Choose the Right Strategy
Nearly eight in ten companies report using generative AI, yet many see no significant bottom-line impact. The reason is straightforward: without a clear strategy, AI investments stall. For RevOps leaders, the foundational choice between a flexible, model-agnostic...
AI Chat vs AI Agents vs AI Workflows: What’s the Difference?
The AI agents market isย projected to reach $103.6 billionย by 2032, roughly thirty times larger than today. For Revenue Operations leaders, AI terminology and claims can blur what matters. The question is how these technologies address core problems: disjointed...
How AI Point Solutions Scale Organizational Silos (& What to Do About It)
With 78% of companiesย now using artificial intelligence, revenue leaders are buying tools fast. That speed is creating an old problem in a new form. Instead of unifying teams, the quick adoption of niche AI point solutions inside each department is expanding silos....
